#include "opencv2/core.hpp"
-#include <opencv2/core/utility.hpp>
#include "opencv2/imgproc.hpp"
-#include "opencv2/video/background_segm.hpp"
+#include "opencv2/video.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
-#include <stdio.h>
+#include <iostream>
using namespace std;
using namespace cv;
-static void help()
-{
- printf("\nDo background segmentation, especially demonstrating the use of cvUpdateBGStatModel().\n"
-"Learns the background at the start and then segments.\n"
-"Learning is togged by the space key. Will read from file or camera\n"
-"Usage: \n"
-" ./bgfg_segm [--camera]=<use camera, if this key is present>, [--file_name]=<path to movie file> \n\n");
-}
-
-const char* keys =
-{
- "{c camera | | use camera or not}"
- "{m method |mog2 | method (knn or mog2) }"
- "{s smooth | | smooth the mask }"
- "{fn file_name|../data/tree.avi | movie file }"
-};
-
-//this is a sample for foreground detection functions
int main(int argc, const char** argv)
{
- help();
-
+ const String keys = "{c camera||use video stream from camera (default is NO)}"
+ "{fn file_name|../data/tree.avi|video file}"
+ "{m method|mog2|method: background subtraction algorithm ('knn', 'mog2')}"
+ "{h help||show help message}";
CommandLineParser parser(argc, argv, keys);
+ parser.about("This sample demonstrates background segmentation.");
+ if (parser.has("help"))
+ {
+ parser.printMessage();
+ return 0;
+ }
bool useCamera = parser.has("camera");
- bool smoothMask = parser.has("smooth");
- string file = parser.get<string>("file_name");
- string method = parser.get<string>("method");
- VideoCapture cap;
- bool update_bg_model = true;
+ String file = parser.get<String>("file_name");
+ String method = parser.get<String>("method");
+ if (!parser.check())
+ {
+ parser.printErrors();
+ return 1;
+ }
- if( useCamera )
+ VideoCapture cap;
+ if (useCamera)
cap.open(0);
else
cap.open(file.c_str());
-
- parser.printMessage();
-
- if( !cap.isOpened() )
+ if (!cap.isOpened())
{
- printf("can not open camera or video file\n");
- return -1;
+ cout << "Can not open video stream: '" << (useCamera ? "<camera 0>" : file) << "'" << endl;
+ return 2;
}
- namedWindow("image", WINDOW_NORMAL);
- namedWindow("foreground mask", WINDOW_NORMAL);
- namedWindow("foreground image", WINDOW_NORMAL);
- namedWindow("mean background image", WINDOW_NORMAL);
-
- Ptr<BackgroundSubtractor> bg_model = method == "knn" ?
- createBackgroundSubtractorKNN().dynamicCast<BackgroundSubtractor>() :
- createBackgroundSubtractorMOG2().dynamicCast<BackgroundSubtractor>();
+ Ptr<BackgroundSubtractor> model;
+ if (method == "knn")
+ model = createBackgroundSubtractorKNN();
+ else if (method == "mog2")
+ model = createBackgroundSubtractorMOG2();
+ if (!model)
+ {
+ cout << "Can not create background model using provided method: '" << method << "'" << endl;
+ return 3;
+ }
- Mat img0, img, fgmask, fgimg;
+ cout << "Press <space> to toggle background model update" << endl;
+ cout << "Press 's' to toggle foreground mask smoothing" << endl;
+ cout << "Press ESC or 'q' to exit" << endl;
+ bool doUpdateModel = true;
+ bool doSmoothMask = false;
- for(;;)
+ Mat inputFrame, frame, foregroundMask, foreground, background;
+ for (;;)
{
- cap >> img0;
-
- if( img0.empty() )
+ // prepare input frame
+ cap >> inputFrame;
+ if (inputFrame.empty())
+ {
+ cout << "Finished reading: empty frame" << endl;
break;
+ }
+ const Size scaledSize(640, 640 * inputFrame.rows / inputFrame.cols);
+ resize(inputFrame, frame, scaledSize, 0, 0, INTER_LINEAR);
- resize(img0, img, Size(640, 640*img0.rows/img0.cols), 0, 0, INTER_LINEAR_EXACT);
+ // pass the frame to background model
+ model->apply(frame, foregroundMask, doUpdateModel ? -1 : 0);
- if( fgimg.empty() )
- fgimg.create(img.size(), img.type());
+ // show processed frame
+ imshow("image", frame);
- //update the model
- bg_model->apply(img, fgmask, update_bg_model ? -1 : 0);
- if( smoothMask )
+ // show foreground image and mask (with optional smoothing)
+ if (doSmoothMask)
{
- GaussianBlur(fgmask, fgmask, Size(11, 11), 3.5, 3.5);
- threshold(fgmask, fgmask, 10, 255, THRESH_BINARY);
+ GaussianBlur(foregroundMask, foregroundMask, Size(11, 11), 3.5, 3.5);
+ threshold(foregroundMask, foregroundMask, 10, 255, THRESH_BINARY);
}
-
- fgimg = Scalar::all(0);
- img.copyTo(fgimg, fgmask);
-
- Mat bgimg;
- bg_model->getBackgroundImage(bgimg);
-
- imshow("image", img);
- imshow("foreground mask", fgmask);
- imshow("foreground image", fgimg);
- if(!bgimg.empty())
- imshow("mean background image", bgimg );
-
- char k = (char)waitKey(30);
- if( k == 27 ) break;
- if( k == ' ' )
+ if (foreground.empty())
+ foreground.create(scaledSize, frame.type());
+ foreground = Scalar::all(0);
+ frame.copyTo(foreground, foregroundMask);
+ imshow("foreground mask", foregroundMask);
+ imshow("foreground image", foreground);
+
+ // show background image
+ model->getBackgroundImage(background);
+ if (!background.empty())
+ imshow("mean background image", background );
+
+ // interact with user
+ const char key = (char)waitKey(30);
+ if (key == 27 || key == 'q') // ESC
+ {
+ cout << "Exit requested" << endl;
+ break;
+ }
+ else if (key == ' ')
{
- update_bg_model = !update_bg_model;
- if(update_bg_model)
- printf("Background update is on\n");
- else
- printf("Background update is off\n");
+ doUpdateModel = !doUpdateModel;
+ cout << "Toggle background update: " << (doUpdateModel ? "ON" : "OFF") << endl;
+ }
+ else if (key == 's')
+ {
+ doSmoothMask = !doSmoothMask;
+ cout << "Toggle foreground mask smoothing: " << (doSmoothMask ? "ON" : "OFF") << endl;
}
}
-
return 0;
}